Loading...
Loading...
Found 7,756 Skills
Diagnose and guide revisions in non-fiction books. Use for non-fiction book revision, when arguments feel weak, evidence is outdated, readers report confusion, thesis is unclear, or book structure has problems. Keywords: non-fiction, revision, thesis, argument, evidence, structure.
Generate phonologically consistent constructed languages for fiction. Use when you need naming languages, alien speech, or fantasy tongues without deep linguistics knowledge.
Autonomously draft and polish chapters through multi-skill editorial passes. Use when you have a complete outline and want to produce a polished first draft with iterative refinement.
Diagnose genre problems and generate genre-specific elements. Use when genre promise is unclear, when elements feel misplaced, when secondary genres compete with primary, or when you need genre-specific entropy. Covers all 11 elemental genres from the Writing Excuses framework.
Systematically analyze existing media to extract transferable elements for new settings. Use when adapting TV, film, or games to fiction, translating tropes across genres, or transforming genre elements for new contexts.
Evaluate representation and flag potential harm concerns. Use when writing characters from marginalized groups, depicting sensitive subject matter, or wanting to check for stereotypes and harmful tropes.
X/Twitter CLI tool for reading tweets, threads, replies, searching, managing bookmarks, and fetching news/trending topics. Use when the user needs to read tweets, search X/Twitter content, get user timelines, fetch bookmarks, or retrieve trending news from the command line. Supports cookie-based authentication from Safari or Chrome.
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
Systematic 4-phase debugging with root cause investigation. Use when fixing bugs to prevent random fixes.
An analytical in-process SQL database management system. Designed for fast analytical queries (OLAP). Highly interoperable with Python's data ecosystem (Pandas, NumPy, Arrow, Polars). Supports querying files (CSV, Parquet, JSON) directly without an ingestion step. Use for complex SQL queries on Pandas/Polars data, querying large Parquet/CSV files directly, joining data from different sources, analytical pipelines, local datasets too big for Excel, intermediate data storage and feature engineering for ML.
Generate creative content including stories, poetry, and creative concepts
Use when creating or editing a README.md file in any project or package. Recursively parses codebase from README location, suggests changes based on missing or changed functionality, and generates thorough, human-sounding documentation with copy-pasteable code blocks and practical examples.